Prevalence and incidence of hepatitis C infection amongst men who have sex with men in a <scp>population‐based</scp> pre‐exposure prophylaxis program in British Columbia, Canada
Bibliographic record
Abstract
BACKGROUND: Men who have sex with men (MSM) are at risk for sexually-transmitted hepatitis C (HCV). Evidence for HCV infection in the context of pre-exposure prophylaxis (PrEP) use in North America is limited. We sought to characterize baseline HCV prevalence and incidence in MSM receiving PrEP in British Columbia (BC), Canada. METHODS: We followed individuals in the BC PrEP program from January 2018 to August 2019. We evaluated baseline prevalence and incident seroconversions (newly positive HCV antibody). A multivariable logistic regression model was performed in MSM for factors associated with HCV prevalence at enrollment, including reported prior sexually transmitted infection (STI), HIV Incidence Risk Index for MSM score, PrEP use because of a partner living with HIV, and location of residence. RESULTS: The median age of the cohort was 33 years, 98.3% male, with 3058 person years (PY) of follow-up. Baseline HCV prevalence was 0.82% (31/3907 MSM enrollees) and HCV incidence (n = 3) was 0.15 per 100 PY (95% confidence interval [CI] 0.03-0.45). In multivariable analysis, initiating PrEP because of a partner living with HIV (adjusted odds ratio [aOR] 5.02; 95% CI 1.87-13.47) and prior STI (aOR 2.34; 95% CI 1.04-5.24) were associated with positive HCV status. CONCLUSIONS: Baseline HCV prevalence and incidence was low amongst MSM in a population-based PrEP program in BC, Canada. HCV was associated with bridging from populations living with HIV and evidence of a reported prior STI as a PrEP indicator condition amongst MSM. PrEP initiation may be an opportunity for linkage to HCV screening and treatment.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".